Fall detection for elderly in assisted environments: Video surveillance systems and challenges

Abstract

Fall Detection is an important challenge in the field of healthcare. Especially for elderly people who live alone. Therefore, reliable surveillance to reduce the effects of falls is an essential requirement. Video surveillance systems provide important areas for detecting unusual events such as falls, with the growing use of cameras in assisted environments. In this paper first, the fall detection techniques are expressed in video sequences. Then, the available challenges are introduced in a proposed classification. Finally, the presented techniques are evaluated and analyzed in terms of addressing the challenges. Understanding the challenges and ways to handle them can lead to a comparison and assessment of the presented approaches. It will also direct researchers to the accurate recognition and improvement of existing approaches in the future.